Parallel greedy algorithm to multiple influence maximization in social network G Wu, X Gao, G Yan, G Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021 | 23 | 2021 |
Quantumdarts: differentiable quantum architecture search for variational quantum algorithms W Wu, G Yan, X Lu, K Pan, J Yan International Conference on Machine Learning, 37745-37764, 2023 | 15 | 2023 |
Qas-bench: rethinking quantum architecture search and a benchmark X Lu, K Pan, G Yan, J Shan, W Wu, J Yan International Conference on Machine Learning, 22880-22898, 2023 | 8 | 2023 |
Towards quantum machine learning for constrained combinatorial optimization: a quantum qap solver X Ye, G Yan, J Yan International Conference on Machine Learning, 39903-39912, 2023 | 6 | 2023 |
Towards a native quantum paradigm for graph representation learning: A sampling-based recurrent embedding approach G Yan, Y Tang, J Yan Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
Quantum 3D graph learning with applications to molecule embedding G Yan, H Wu, J Yan International Conference on Machine Learning, 39126-39137, 2023 | 3 | 2023 |
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects Y Ge, W Wenjie, C Yuheng, P Kaisen, L Xudong, Z Zixiang, W Yuhan, ... arXiv preprint arXiv:2407.00736, 2024 | 2 | 2024 |
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling W Wu, Y Wang, G Yan, Y Zhao, J Yan arXiv preprint arXiv:2404.07882, 2024 | 2 | 2024 |
Vqne: Variational quantum network embedding with application to network alignment X Ye, G Yan, J Yan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms G Yan, H Chen, K Pan, J Yan The Twelfth International Conference on Learning Representations, 0 | | |